La littérature sur l'éclaircie montre que peu d'études ont essayé d'aborder le second aspect, probablement parce qu'il est difficile de développer des modèles paramétrés pour les tendances temporelles. Une analyse efficace des données de suivi du microclimat devrait considérer à la fois l'influence du régime d'éclaircie sur le microclimat et les tendances temporelles de réponse du microclimat. Le suivi des effets de l'éclaircie sur le microclimat fait partie intégrante de toute expérience d'éclaircie, car c'est en modifiant le microclimat que l'éclaircie affecte des processus écologiques importants. We also addresse some concerns in using the proposed approach. In general, the semiparametric model performed better than its parametric counterpart. For each of the microclimatic variables, we also compared the performance of the fitted semiparametric model with that of a parametric model. The proposed approach not only successfully detected the effects of thinning, but also revealed interesting temporal trends. We then provide an example in which semiparametric mixed-effects smoothing-spline models were used to analyze microclimate-monitoring data from a thinning experiment. First, the concept of a smoothing spline is briefly described. We propose the use of semiparametric smoothing splines to analyze monitoring data from thinning experiments. Probably because of the difficulties in modeling temporal trends parametrically, an examination of the existing literature on thinning showed that only a few studies have attempted to address the second aspect.
An efficient analysis of microclimate-monitoring data should address both the effects of thinning regimes on, and the temporal response trends of, microclimates. It is through its modifications of microclimates that thinning alters important ecological processes. Monitoring the effects of stand thinning on microclimates is an integral part of any thinning experiment.
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